Pune, Maharashtra, India
Open 6 months, first seen by us 180 days agoEmployment type in the employer’s posting: Full-timeFrom the employer’s posting
Design and evolve Snowflake-native analytical data products
Build reusable, governed semantic datasets for positions, transactions, cash, P&L and risk
Translate Avaloq Core Platform structures into business-meaningful analytical models
Implement masking, row-level security and object tagging governance in Snowflake
Enable AI use cases with Snowflake Cortex, Snowpark ML and vector search
Design and evolve Snowflake‑native analytical data products.
Build reusable, governed semantic datasets for positions, transactions, cash, performance, P&L, and risk.
Translate Avaloq Core Platform (ACP) structures into business‑meaningful analytical models.
Implement Snowflake‑native governance frameworks including masking policies, row‑level security, object tagging, and access policies.
Enable AI and advanced analytics use cases using Snowflake Cortex, Snowpark ML, vector search, and document intelligence.
Excellent SQL skills and strong Python proficiency.
Experience in financial services or banking.
Deep understanding of analytical data modeling and data semantics.
Knowledge of Avaloq Core Platform or similar core banking systems.
Experience integrating enterprise data sources such as Oracle and Kafka.
Experience with data governance and data quality frameworks.
Open 6 monthsWe first saw this posting 180 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 180
Up longer than most. Similar jobs usually come down between day 6 and day 54.
Well past Avaloq’s usual: its jobs come down by about day 40.
From 11,071 similar postings that came down, and 13 of Avaloq’s. Coming down is not always a hire.
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Proven production track record, not limited to PoCs. - Excellent SQL skills and strong Python proficiency. - Deep understanding of analytical data modeling and data semantics.
- Strong, hands‑on experience building Snowflake‑based data platforms. - Hands‑on experience with dbt or similar analytics‑engineering tools. - Proven production track record, not limited to PoCs.
- Deep understanding of analytical data modeling and data semantics. - Experience integrating enterprise data sources such as Oracle and Kafka. - Cloud‑native mindset, including CI/CD and automation.
Our mission is to create trusted, analytics and AI‑ready data platforms, turning Avaloq Core data into governed, reusable data products that power reporting, analytics, automation, and next‑generation AI use cases. We believe that AI success starts with strong data foundations, semantics, and governance. What We’re Looking For: We are looking for a senior Snowflake Data & AI Platform Engineer with proven, hands‑on experience building production‑grade analytical data platforms. You will play a key role in scaling our Snowflake‑based analytics platform, shaping data products, governance, and AI enablement, and acting as a technical reference for both internal teams and clients. This role is designed for experienced professionals who think platform‑first, not project‑first.
What We’re Looking For: We are looking for a senior Snowflake Data & AI Platform Engineer with proven, hands‑on experience building production‑grade analytical data platforms. You will play a key role in scaling our Snowflake‑based analytics platform, shaping data products, governance, and AI enablement, and acting as a technical reference for both internal teams and clients. This role is designed for experienced professionals who think platform‑first, not project‑first. Key Tasks
Key Tasks Snowflake Analytics & Platform Engineering: - Design and evolve Snowflake‑native analytical data products.
Snowflake Analytics & Platform Engineering: - Design and evolve Snowflake‑native analytical data products. - Build reusable, governed semantic datasets for positions, transactions, cash, performance, P&L, and risk.
- Build reusable, governed semantic datasets for positions, transactions, cash, performance, P&L, and risk. - Leverage Snowflake native capabilities such as Dynamic Tables, Streams and Tasks, Secure Views, RBAC, data sharing, and cost and workload optimization strategies. Data Semantics & Modeling
Governance, Security & Quality Implement Snowflake‑native governance frameworks including masking policies, row‑level security, object tagging, and access policies. Build data quality, security, and trust into the platform by design. AI & Advanced Analytics Enablement
- Prepare the platform for enterprise‑grade AI usage. - Enable AI and advanced analytics use cases using Snowflake Cortex, Snowpark ML, vector search, and document intelligence. - Focus on AI enablement and operationalization rather than pure data science experimentation.
Collaboration & Technical Leadership - Act as a senior technical reference for Snowflake within the team. - Collaborate with Product Managers, Architects, Analysts, and Engineers across locations.
Must‑Have - Strong, hands‑on experience building Snowflake‑based data platforms. - Hands‑on experience with dbt or similar analytics‑engineering tools.
- Knowledge of Avaloq Core Platform or similar core banking systems. - Hands‑on experience with Snowflake Cortex, Native Apps, or Marketplace. - Experience with data governance and data quality frameworks.
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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
About Us: we are the Data Platform domain teams in the Product and Development Business Area, enabling financial institutions to adopt, govern, and analyze data from Avaloq products across complex enterprise ecosystems.
Our mission is to create trusted, analytics and AI‑ready data platforms, turning Avaloq Core data into governed, reusable data products that power reporting, analytics, automation, and next‑generation AI use cases. We believe that AI success starts with strong data foundations, semantics, and governance.
What We’re Looking For: We are looking for a senior Snowflake Data & AI Platform Engineer with proven, hands‑on experience building production‑grade analytical data platforms.
You will play a key role in scaling our Snowflake‑based analytics platform, shaping data products, governance, and AI enablement, and acting as a technical reference for both internal teams and clients. This role is designed for experienced professionals who think platform‑first, not project‑first.
Key Tasks
Snowflake Analytics & Platform Engineering:
Data Semantics & Modeling
Governance, Security & Quality
Implement Snowflake‑native governance frameworks including masking policies, row‑level security, object tagging, and access policies. Build data quality, security, and trust into the platform by design.
AI & Advanced Analytics Enablement
Collaboration & Technical Leadership
Must‑Have
Strong Advantages
We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices.
In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self.
We hire, compensate and promote regardless of origin, age, gender identity, sexual orientation or any other fantastic traits that make us all unique, we have done our best to write this advert in an inclusive and neutral way.
Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations.
#LI-Hybrid
Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 12 countries, and more than 170 clients in 35 countries. We are an industry-leading provider of wealth management technology and services for financial institutions around the world, including private banks and wealth managers, investment managers, as well as retail and neo banks. Our research led approach and continual innovation is powered by the passion and creativity of our colleagues.
We are always looking for talented people to join us on our mission to orchestrate the financial ecosystem and democratize access to wealth management. Avaloq offers the opportunity to work closely with some of the world’s leading financial institutions as we jointly develop and shape careers. Championing a collaborative, supportive and flexible work environment empowers our colleagues to reach their full potential.
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Pune, Maharashtra, India
Additional Information We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices. In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self.
Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations. #LI-Hybrid Company Description
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